Metadata-Version: 2.1
Name: nvflare
Version: 2.1.0
Summary: Federated Learning Application Runtime Environment
Home-page: https://github.com/NVIDIA/NVFlare
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3.7,<3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: PyYAML
Requires-Dist: psutil
Requires-Dist: numpy
Requires-Dist: grpcio
Requires-Dist: google-api-python-client
Requires-Dist: cryptography (>=36.0.0)
Requires-Dist: tenseal (==0.3.0)
Requires-Dist: gunicorn
Requires-Dist: flask

**NV**IDIA **F**ederated **L**earning **A**pplication **R**untime **E**nvironment


[NVIDIA FLARE](https://nvidia.github.io/NVFlare) enables researchers to collaborate and build AI models without sharing private data. 

NVIDIA FLARE is a standalone python library designed to enable federated learning amongst different parties using their local secure protected data for client-side training, at the same time it includes capabilities to coordinate and exchange progressing of results across all sites to achieve better global model while preserving data privacy. The participating clients can be in any part of the world. 

NVIDIA FLARE builds on a flexible and modular architecture and is abstracted through APIs allowing developers & researchers to customize their implementation of functional learning components in a Federated Learning paradigm. 

Learn more - [NVIDIA FLARE](https://nvidia.github.io/NVFlare).


## Installation

To install [the current release](https://pypi.org/project/nvflare), you can simply run:

```bash
pip install nvflare
```

## Third party license

See 3rdParty folder for their license files.


